I turn AI ideas into systems that survive production.
I'm a Full-Stack AI Engineer specializing in intelligent automation, conversational AI agents, and production-grade machine learning. I design and ship RAG pipelines, autonomous agent systems with LangChain and LangGraph, and scalable AI applications on Python and FastAPI.
I'm Muhammad Noman Riaz, a Full-Stack AI Engineer who builds AI systems that solve real business problems. My focus is on the practical side of AI - turning models, data, and workflows into reliable products that users love.
Over the years, I've shipped production RAG systems, built AI agents that autonomously handle tasks, and developed dashboards and tools used by real teams every day. I care deeply about clean architecture, performance, and long-term maintainability.
I believe great engineering is not just about writing code - it's about understanding the problem, choosing the right tools, and building systems that create real impact.
Context is everything
I dive deep into the problem, users, and data before writing a single line of code.
Ship the whole loop
From data ingestion and models to APIs, UI, and deployment - I own the entire lifecycle.
Earn trust with numbers
I focus on performance, reliability, and outcomes that can be measured and felt.
Where I've shipped.
AI Engineer & Senior Web Scraping Developer
PresentABC Teknology
- Designed and developed a production AI shopping assistant for UAE grocery price comparison, using a FastAPI backend and LangGraph agent architecture to interpret natural-language shopping requests, search retailers in parallel, filter results, and rank products by relevance and value.
- Built parallel web-crawling and data-ingestion services for major UAE grocery retailers, supporting live product, price, availability, and catalog data for AI-powered shopping workflows.
- Developed a cross-platform React Native / Expo mobile application for iOS and Android with TypeScript, multi-provider OAuth, secure session management, and real-time backend communication.
- Extended the same AI backend to WhatsApp, enabling users to interact with the shopping assistant through multiple channels using Twilio.
- Implemented LLM-driven product ranking, availability filtering, relevance filtering, live progress streaming, and multi-step agent orchestration using LangGraph and OpenAI.
- Designed backend services with PostgreSQL and Redis for persistent data, caching, session management, and scalable request handling.
- Worked across AI architecture, backend APIs, web scraping, mobile development, authentication, integrations, and production deployment.
AI / ML Engineer
PresentStechAI
- Designed and deployed a production RAG platform for enterprise knowledge retrieval across 100K+ documents, using LangChain, Qdrant, hybrid retrieval, citation grounding, FastAPI, Redis, GPT-4, and Claude.
- Implemented MCP-based AI agents capable of multi-step tool use and reasoning, extending the RAG platform beyond document retrieval into agentic workflows.
- Optimized document chunking, retrieval, caching, and validation pipelines, achieving 94% retrieval accuracy and approximately 70% faster search.
- Built TrendGen, an end-to-end AI trend intelligence platform processing 100K+ social posts per run using embeddings, Sentence Transformers, BERTopic, LLM-assisted trend naming, Qdrant, and MongoDB.
- Developed emerging-signal forecasting using Qdrant vector search and Dynamic Time Warping (DTW), achieving a 74% emerging-signal hit rate with approximately 17 days average forecast lead time.
- Built asynchronous ML job orchestration with live progress streaming, scheduled pipelines, model versioning, and Azure Blob Storage for repeatable production inference.
- Developed a React and TypeScript administration console for trend generation, model management, trend exploration, forecasting, monitoring, and analytics.
- Designed and deployed FastAPI services and data pipelines integrating MongoDB, Qdrant, Azure Storage, OpenAI, and scheduled ML workflows.
Independent AI Consultant
PresentFreelance
- Designed and delivered production AI, automation, CRM, marketing, conversational AI, and full-stack products for international clients across service, sales, marketing, and technology use cases.
- Built Tap Connect, a production digital identity and networking platform using Next.js, FastAPI, PostgreSQL, Redis, HubSpot, NFC, and QR workflows, including live profiles, card management, connection capture, analytics, team governance, and CRM integrations.
- Developed Communication AI Hub, a production CRM and communications operations platform integrating lead intake, automated nurture flows, email, SMS, voice, call review, inbound AI agents, human review queues, and CRM workflows.
- Built Marketing AI Hub, a multi-brand content and advertising platform that transforms field videos into AI-generated social content, campaigns, organic posts, and Meta advertising workflows with human approval and brand controls.
- Designed and deployed AI voice agents and omnichannel booking systems using VAPI, OpenAI, Twilio, FastAPI, n8n, and Airtable for automated phone, SMS, and web booking.
- Developed intelligent document-processing and knowledge systems using RAG, vector databases, LLMs, and MCP-based agent workflows for automated extraction, retrieval, validation, and reporting.
- Built full-stack AI applications combining Python/FastAPI backends with React, Next.js, and React Native frontends, integrating third-party APIs, automation platforms, databases, and cloud services.
- Worked directly with international clients on architecture, technical planning, implementation, integrations, debugging, deployment, and production optimization.
The stack I reach for.
Tools and technologies I use to build scalable and intelligent products.
AI & ML
Python & backend
Data & scraping
Frontend & full-stack
Databases
DevOps & cloud
Vector databases
BS Computer Science
Arid Agriculture University, Rawalpindi
Muhammad is a great professional, very attentive and a good listener. Always ready even when local time is abroad. High level technical knowledge and very pro-positive. Certainly knows AI and system development from the bottom - his backend skills are amazing. He definitely helps us fast, to reach a solution which by the way was complex. He is now involved on the 3rd project with us. With no doubt, we would work with him in the future.
Need a product built?
AI systems, full-stack apps, and automation for teams that need shipping, not demos. Start with a short brief or book a discovery call.
Hiring for AI or full-stack?
Open to remote and hybrid full-time roles. Pick a CV framing that matches the role, then send the JD or book an intro.
Ready to build something useful?
Whether you need a freelance build, a full-time hire, or a short intro call, pick the path that fits and I will respond within 24 hours.
